scholarly journals A Stochastic Inexact Robust Model for Regional Energy System Management and Emission Reduction Potential Analysis—A Case Study of Zibo City, China

Energies ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 2108 ◽  
Author(s):  
Yulei Xie ◽  
Linrui Wang ◽  
Guohe Huang ◽  
Dehong Xia ◽  
Ling Ji

In this study, in order to improve regional energy system adjustment, a multistage stochastic inexact robust programming (MSIRP) is proposed for electric-power generation planning and structure adjustment management under uncertainty. Scenario-based inexact multistage stochastic programming and stochastic robust optimization were integrated into general programming to reflect uncertainties that were expressed as interval values and probability distributions in the objective function and constraints. An MSIRP-based energy system optimization model is proposed for electric-power structure management of Zibo City in Shandong Province, China. Three power demand scenarios associated with electric-power structure adjustment, imported electricity, and emission reduction were designed to obtain multiple decision schemes for supporting regional sustainable energy system development. The power generation schemes, imported electricity, and emissions of CO2 and air pollutants were analyzed. The results indicated that the model can effectively not only provide a more stable energy supply strategies and electric-power structure adjustment schemes, but also improve the balanced development between conventional and new clear power generation technologies under uncertainty.

2014 ◽  
Vol 627 ◽  
pp. 357-364 ◽  
Author(s):  
Goran Radovic ◽  
Vera Murgul ◽  
Nikolai Vatin ◽  
Ekaterina Aronova

The article deals with the concept of solar photovoltaic systems use in power supply systems. An analysis of local solar resources potential has been carried out, and optimal orientation points of radiant heat absorbing photovoltaic panels have been chosen to achieve maximum energy performance. Simulation of electric power systems having different configurations has been implemented using the software program Homer. It has been stated that a combination of solar and diesel energy systems is considered to be an optimal solution under the weather conditions of Montenegro. The systems working together make it possible to reduce maintenance costs significantly and adjust capacity generation schedule with due account for energy consumption features to a maximum extent. This allows generating electric power at less cost and results in a more reliable and continuous power supply without failures for a consumer chosen.


2011 ◽  
pp. 184-188
Author(s):  
G. B. Korovin ◽  
E. A. Malyshev

Author(s):  
Paul W. Pillsbury

As described previously in ASME papers, an effort has been underway to apply the emission reduction advantages of catalytic oxidation to practical burners for the large combustion turbines used in electrical power generation. A two-stage design is used to cover the operating range. Results are presented for high pressure combustion rig tests in the primary, secondary, and combined modes, as well as during transition. The fuel for this series, was No. 2 distillate oil. The work was supported by the Electric Power Research Institute, the Westinghouse Electric Corp., and the Engelhard Corp. The results define more clearly the highest priority areas for further development with this technology.


2020 ◽  
Vol 12 (10) ◽  
pp. 4272
Author(s):  
Yang Zhang ◽  
Zhenghui Fu ◽  
Yulei Xie ◽  
Qing Hu ◽  
Zheng Li ◽  
...  

In this study, a comprehensive research framework coupled with electric power demand forecasting, a regional electric system planning model, and post-optimization analysis is proposed for electric power system management. For dealing with multiple forms of uncertainties and dynamics concerning energy utilization, capacity expansions, and environmental protection, the inexact two-stage stochastic robust programming optimization model was developed. The novel programming method, which integrates interval parameter programming (IPP), stochastic robust optimization (SRO), and two-stage stochastic programming (TSP), was applied to electric power system planning and management in Harbin, China. Furthermore, the Gray-Markov approach was employed for effective electricity consumption prediction, and the forecasted results can be described as interval values with corresponding occurrence probability, aiming to produce viable input parameters of the optimization model. Ten scenarios were analyzed with different emissions reduction levels and electricity power structure adjustment modes, and the technique for order of preference by similarity to ideal solution (TOPSIS) was selected to identify the most influential factors of planning decisions by selecting the optimal scheme. The results indicate that a diversified power structure that dominates by thermal power and is mainly supplemented by biomass power should be formed to ensure regional sustainable development and electricity power supply security in Harbin. In addition, power structure adjustment is more effective than the pollutants emission control for electricity power system management. The results are insightful for supporting supply-side energy reform, generating an electricity generation scheme, adjusting energy structures, and formulating energy consumption of local policies.


2009 ◽  
Vol 86 (4) ◽  
pp. 441-451 ◽  
Author(s):  
Magnus Karlsson ◽  
Alemayehu Gebremedhin ◽  
Sofia Klugman ◽  
Dag Henning ◽  
Bahram Moshfegh

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